Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

Edureka
Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Classification And Regression Tree (CART), Natural Language Processing, Supervised Learning, Artificial Intelligence, Data Science, Computer Vision
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Algorithms, Linear Algebra, Exploratory Data Analysis, NumPy, Statistical Analysis
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning
Intermediate · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: No-Code Development, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Data Ethics, Application Deployment, Business Continuity, Compliance Auditing, Performance Tuning, Application Programming Interface (API)
Intermediate · Course · 1 - 4 Weeks
CertNexus
Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Cloud Computing, Data Transformation, Continuous Monitoring
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, File Systems, New Product Development, Data Analysis, Machine Learning, Internet Of Things, Data Processing, Supervised Learning, Product Planning, Data Cleansing, Unsupervised Learning, Data Storage, Project Planning, Systems Of Measurement
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Literacy, No-Code Development, Business Analytics, Data Science, Applied Machine Learning, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Ethics, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours